DocumentCode :
1567142
Title :
The State and Parameter Estimation of an Li-Ion Battery Using a New OCV-SOC Concept
Author :
Lee, S.J. ; Kim, J.H. ; Lee, J.M. ; Cho, Bo H.
Author_Institution :
Seoul Nat. Univ., Seoul
fYear :
2007
Firstpage :
2799
Lastpage :
2803
Abstract :
The open circuit voltage (OCV) is widely used to estimate the state of charge (SOC) in many SOC estimation algorithms. But the relationship between the OCV and SOC can not be exactly same for all batteries. Because the conventional OCV-SOC differs between batteries, there is a problem in that the OCV-SOC data should be measured to accurately estimate the SOC in different batteries. Therefore, the conventional OCV- SOC should be modified. In this paper, a new OCV-SOC that is independent of the battery conditions is proposed. Thus, problems resulting from the defects of the EKF can be avoided by preventing the OCV-SOC data from varying. In this paper, the SOC and battery capacity are estimated using the dual EKF with the proposed OCV-SOC.
Keywords :
Kalman filters; electric charge; lithium; parameter estimation; secondary cells; state estimation; Li-ion battery; extended Kalman filter; open circuit voltage; parameter estimation; state estimation; state-of-charge estimation; Battery charge measurement; Circuit testing; Computer science; Filters; Hybrid electric vehicles; Parameter estimation; Recursive estimation; State estimation; Temperature; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Specialists Conference, 2007. PESC 2007. IEEE
Conference_Location :
Orlando, FL
ISSN :
0275-9306
Print_ISBN :
978-1-4244-0654-8
Electronic_ISBN :
0275-9306
Type :
conf
DOI :
10.1109/PESC.2007.4342462
Filename :
4342462
Link To Document :
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